After correcting for confounding variables, none of the underlying task difficulty scales changed over time.
However, SVMs suffer from one limitation: it is unclear how to correct for confounding variables in SVM predictions.
FPG has an independent, positive association with ba-PWV in non-diabetic subjects after correcting for confounding variables, including age, sex, BMI, blood pressure, resting heart rate, hs-CRP, lipid profile, and behavioral habits.
Only Greendale and colleagues found the opposite result, with a positive association between oestrogen levels and percentage density, which even became stronger and statistically significant after correcting for confounding variables [ 14].
DOI: http://dx.doi.org/10.7554/eLife.02935.011 The number of somatic mtDNA substitutions varied significantly according to tumor type (p = 4.4 × 10−52) after correcting for confounding variables such as sequencing coverage: gastric, hepatocellular, prostate, and colorectal cancers had the highest number of mtDNA substitutions.
Furthermore, MPV could be positively and independently correlated with the FPG levels, not only in the prediabetic subjects but also in normoglycemic subjects, after correcting for confounding variables.
The impact of HD vascular access at the time of dialysis initiation on survival was considered in more detail in a multivariate model to correct for confounding variables.
FPG, fasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; Sex: male, 1: female, 2; BMI, body mass index; hs-CRP, high-sensitivity C-reactive protein; NS, not significant In this study, FPG was positively and independently associated with the ba-PWV in non-diabetic healthy adults after correcting for confounding variables.
Three models were set up to adjust for confounding variables.
